Strand AI
strandai.comPredict missing biological modalities from the data you already have.
AI Toolslife-sciencesdrug-discoverymultimodal-aibiomarker-discoveryclinical-trialsgenomicsproteomics
About
Strand AI is an AI platform for life sciences teams that predicts missing multimodal patient data—such as gene expression, proteomics, and spatial transcriptomics—from routinely collected samples like H&E slides and genotypes. It helps clinical trial and biomarker discovery teams rescue incomplete cohorts, skip expensive assays, and surface predictive signatures without re-acquiring data. The platform targets a core challenge in oncology and rare disease research: the high cost and impracticality of measuring every biological modality for every patient.
Problem
Acquiring every biological modality for every patient in clinical trials is expensive, invasive, and often impossible, leading to incomplete cohorts and missed biomarkers.
For
Life sciences and biotech teams running clinical trials and biomarker discovery programs
How it works
Strand AI uses machine learning to predict missing biological modalities (e.g., proteomics, transcriptomics) from existing patient data such as H&E slides and genotype information.
Business model
unknown
Status
waitlist
Company
Strand AI